Data Engineer
Full Time
full-time
15 Oct 2025
Join Accenture as a Data Engineer
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Similar to the previous listing with a solid company backing but with strict experience requirements that can limit potential candidates.
- High demand for technical expertise in data engineering
- Mentorship opportunities for aspiring engineers
- Live the challenge of innovative data management
Pros
- Involvement in innovative data solution projects.
- Mentorship opportunities for junior team members.
- Strong focus on data quality and infrastructure.
Cons
- High-level of expertise demanded (7.5 years experience in similar fields).
- Possible limited remote work options.
- Ongoing need for skill adaptability.
Who it's for
Mid to Senior Level • On-site
Good fit
- Experienced professionals in data engineering
- Team leaders and mentors in tech
- Engineers keen on developing their skills in data solutions
Not recommended for
- Beginners without relevant experience
- Individuals looking for purely remote jobs
- Candidates preferring straightforward tasks
Motivation fit
Interest in leading multiple teams towards achieving goalsDesire for involvement in impactful data engineering tasksWillingness to collaborate with different departments
Key skills
ETL and data integration techniquesMentoring junior engineersData framework proficiencyProblem-solving skills
Score: 75/100 AI verified analysis
About the job
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Spark
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Chennai. - A 15 years full time education is required.
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Spark
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Chennai. - A 15 years full time education is required.
